Ggplot2 Blogs

2/5/2026 • EN

Michael Toth

Michael Toth is a consulting data scientist and writer known for clear, practical guides to data visualization in R. His work focuses on ggplot, effective graph design, and helping data scientists communicate insights with impact.

Data Science R Programming Data Visualization

Michael Toth

20

2/3/2026 • EN

Noam Ross

Noam Ross is a research software engineer and data scientist writing about open-source software, reproducible research, and the ethics of technology. His blog explores tooling choices, CI/CD workflows, and the social impact of software in scientific work.

open source research software reproducible science

Noam Ross

36

2/2/2026 • EN

Oscar Baruffa

Oscar Baruffa is a Senior Analytics Manager and data professional helping organisations improve data maturity and build systems from scratch. With a background spanning engineering, strategy, and analytics, he also supports professionals transitioning into data-driven careers.

data analytics analytics manager data maturity

Oscar Baruffa

8

2/1/2026 • EN

Tom Mock

Tom Mock’s blog focuses on R programming, data visualization, and reproducible research. He shares practical tutorials for RMarkdown, Quarto, tidyverse, and creative data presentation techniques.

r programming data visualization rmarkdown

Tom Mock

20

2/1/2026 • EN

Benjamin Smith

Benjamin Smith’s blog RObservations focuses on R programming, data analysis, and statistical computing. He shares tutorials, package development insights, and practical examples for data visualization, social network analysis, and reproducible research.

r programming data analysis r packages

Benjamin Smith

6

1/28/2026 • EN

Mara Averick

Mara Averick is a data enthusiast and R programmer who shares insights, tutorials, and tips on data analysis, visualization, and reproducible workflows. She creates and explores tools in the R ecosystem, including packages like {datapasta}, and enjoys making data more accessible and visually engaging.

R data visualization reprex

Mara Averick

31

1/28/2026 • EN

kieran healy 

Kieran Healy is a Professor of Sociology at Duke University, specializing in social networks, data visualization, and sociological theory. He is the author of several books, including The Ordinal Society and Data Visualization.

Sociology data visualization social networks

kieran healy 

11

1/28/2026 • EN

Thomas Lin Pedersen

Thomas Lin Pedersen is a Danish software engineer and member of the Tidyverse team at Posit, PBC, specializing in R data visualization tools like ggplot2, patchwork, and graphics devices. He is also a generative artist whose work has been exhibited internationally.

R Tidyverse data visualization

Thomas Lin Pedersen

0

1/28/2026 • EN

Cedric Scherer

Cédric is an independent data visualization specialist and ecologist who helps organizations communicate insights through engaging visualizations and reproducible data products. He combines analytical expertise, programming, and design to create interactive graphics, reports, and web applications.

data visualization ggplot2 reproducible workflows

Cedric Scherer

16

1/28/2026 • EN

Jakub Nowosad

Jakub Nowosad is a computational geographer and Associate Professor at Adam Mickiewicz University, also serving as a Visiting Scientist at the University of Münster. He develops open-source tools and spatial methods for reproducible, scalable environmental and ecological analysis, and co-authors Geocomputation with R and Geocomputation with Python.

geocomputation spatial analysis environmental modeling

Jakub Nowosad

43

1/28/2026 • EN

Andrew Heiss

Andrew Heiss is a researcher and educator focused on data visualization, causal inference, and applied statistics using R and Bayesian methods. He writes extensively about reproducible research, GIS, and analytical workflows, and teaches data science and social science methods.

data visualization causal inference R programming

Andrew Heiss

55

1/25/2026 • EN

Andis Ariet

Andis Arietta is a data scientist and evolutionary ecologist researching how land management and climate change shape eco-evolutionary dynamics. With a background in genomics, statistics, and machine learning, he bridges science, conservation, and data-driven decision making.

Data Science Evolutionary Ecology Machine Learning

Andis Ariet

7

1/25/2026 • EN

Thomas Lumley

Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.

statistics data analysis statistical modeling

Thomas Lumley

215

1/21/2026 • EN

Jessie Frazelle

Jessie Frazelle is a technologist and author specializing in hardware, software, and data center technologies. She writes about chip design, mechanical CAD, energy systems, 3D printing, and security in computing.

Hardware Chip Design Data Centers

Jessie Frazelle

67

1/5/2026 • EN

Sebastian Raschka

Sebastian Raschka, PhD, is an LLM Research Engineer and AI expert bridging academia and industry, specializing in large language models, high-performance AI systems, and practical, code-driven machine learning.

Large Language Models Artificial Intelligence Machine Learning

Sebastian Raschka

101

11/29/2025 • EN

Sebastian Raschka

SebastianRaschka.com is the personal blog of Sebastian Raschka, PhD, an LLM research engineer whose work bridges academia and industry in AI and machine learning. On his blog and notes section he publishes deep, well-documented articles on topics such as LLMs (large language models), reasoning models, machine learning in Python, neural networks, data science workflows, and deep learning architecture. Recent posts explore advanced themes like “reasoning LLMs”, comparisons of modern open-weight transformer architectures, and guides for building, training, or analyzing neural networks and model internals.

ai machine learning python

Sebastian Raschka

108